Machine-learning solutions present a privacy risk primarily because the training data used during the training phase may contain sensitive information. If this data is compromised, it can lead to privacy breaches. Machine-learning models can also inadvertently memorize and reproduce sensitive data from the training set.
[Reference:IAPP CIPT Study Guide, "Privacy Risks in Machine Learning," which discusses the significance of ensuring the security and privacy of training data., ]
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